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DBMS > Linter vs. Splice Machine

System Properties Comparison Linter vs. Splice Machine

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionRDBMS for high security requirementsOpen-Source SQL RDBMS powered by Spark and Hadoop
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#339  Overall
#138  Relational DBMS
Score0.99
Rank#155  Overall
#78  Relational DBMS
Websitelinter.ru/­enwww.splicemachine.com
Technical documentationdoc.splicemachine.com
Developerrelex.ru/­enJohn Leach
Initial release19902014
Current release2.0
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial Enterprise edition available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyesyes
SQL infoSupport of SQLyesyes
APIs and other access methodsJDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Java
JRuby
Scala
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLyes infoJava
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infouses HBase instead
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
LinterSplice Machine
News

Data In the New: Transforming Insurance
14 August 2019

The Public Cloud Did Not Kill Hadoop – But Complexity Could
14 August 2019

How Data Science Silos Undermine Application Modernization
5 August 2019

What Happened to Hadoop? What Should You Do Now?
30 July 2019

Buyer Beware: ACID Compliance of Analytical Data Platforms May Not Be What You Expect
20 June 2019

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More resources
LinterSplice Machine
Recent citations in the news

Re-Imagining Big Data in a Post-Hadoop World
12 August 2019, Datanami

What Happened to Hadoop? And Where Do We Go from Here?
10 August 2019, insideBIGDATA

Big Data in the Financial Services Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts
21 August 2019, Rapid News Network

Splice Machine raises $16 million for unified machine learning platform
20 February 2019, VentureBeat

Splice Machine doubles down on managing machine learning
3 May 2019, ZDNet

provided by Google News




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